Github Top Repositories
前往频道在 Telegram
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
显示更多📈 Telegram 频道 Github Top Repositories 的分析概览
频道 Github Top Repositories (@githubre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 15 182 名订阅者,在 教育 类别中位列第 13 479,并在 印度 地区排名第 26 167 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 15 182 名订阅者。
根据 02 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 447,过去 24 小时变化为 3,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 0.96%。内容发布后 24 小时内通常能获得 0.64% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 146 次浏览,首日通常累积 97 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 1。
- 主题关注点: 内容集中在 repository, fork, programming, statistic, description 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
凭借高频更新(最新数据采集于 04 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
15 182
订阅者
+324 小时
+367 天
+44730 天
帖子存档
15 180
💡 MakazhanAlpamys/Soup just hit the trending charts — here's why it matters.
🔗 https://github.com/MakazhanAlpamys/Soup
📝 Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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Soup is a game-changer for fine-tuning Large Language Models (LLMs). It simplifies the process into a single command, eliminating the need for SSH, complex configurations, and tedious infrastructure management. With Soup, you can fine-tune an 8B model on a 4 GB laptop GPU, thanks to its innovative layer streaming feature.
The key features of Soup include:
-
Zero SSH: No more SSHing into broken GPU boxes.
- One config: A simple YAML file for all your needs.
- Auto everything: Batch size, GPU detection, and quantization are all handled automatically.
- Works locally: Train on your own GPU with QLoRA, no cloud required.
To get started with Soup, you can:
pip install "soup-cli[train]"
soup init --template chat
soup train
Soup is perfect for anyone looking to simplify their LLM fine-tuning workflow, from researchers to developers. Its ability to stream layers and quantify models makes it an ideal solution for those working with limited GPU resources.
In short, Soup is a powerful tool that makes fine-tuning LLMs a breeze, and its innovative features make it a must-try for anyone in the field. Train your LLMs with ease, and focus on what really matters – creating value for your users!
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🧠 Channel: https://t.me/GithubRe15 180
📌 Spotted on GitHub Trending: public-apis/public-apis — let's break it down.
🔗 https://github.com/public-apis/public-apis
📝 A collective list of free APIs
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The public-apis/public-apis repository is a curated list of free APIs from various domains, maintained by the community and APILayer. It's a treasure trove of APIs that you can use for your own products. The repository includes APIs for animals, anime, anti-malware, and many more. You can browse the list of APIs, which includes information such as authentication requirements, HTTPS support, and CORS headers. To get started, you can
fork the official APILayer Postman Collection and start building your project in under 60 seconds. The repository is open to contributions, and you can get involved by checking out the contributing guide. Join the community on Discord to get updates, ask questions, and get answers. With public-apis/public-apis, you can integrate production-grade REST APIs into your product using one account, one dashboard, and one API key. So, what are you waiting for? Dive into the world of public APIs and start building your next project today - one API at a time!
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🧠 Channel: https://t.me/GithubRe15 180
🎯 unslothai/unsloth landed on trending. Worth a proper look.
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a cutting-edge desktop app that allows you to run and train AI models locally, with support for various model types. Its key features include running and training LLMs, diffusion, embedding, audio models, and more. You can use it to
fine-tune models 2× faster with 70% less VRAM, and export or deploy models in different formats. Unsloth also offers remote access through secure Cloudflare HTTPS.
To get started, you can download the native Unsloth Desktop app for your operating system, or install it manually using curl or powershell commands. Unsloth is suitable for developers, researchers, and AI enthusiasts who want to work with AI models locally.
The app is available for Windows, macOS, and Linux, with support for multi-GPU setups and Vulkan acceleration. With Unsloth, you can unleash the full potential of AI models on your local machine - no cloud required!
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🧠 Channel: https://t.me/GithubRe15 180
⚡ cactus-compute/needle is making waves. Here's the full picture.
🔗 https://github.com/cactus-compute/needle
📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.
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Needle 2 is an open, 45M-parameter model for tool calling and structured extraction, optimized for tiny devices. It's a single, self-contained 14MB binary that runs in about 28MB of RAM. Key features include a simple contract for tool calls, confidence-gated responses, and bounded memory usage.
To
get started, you can install the Python package with pip install cactus-needle and describe your tools to integrate them with the model. import needle
@needle.tool
def get_weather(city: str):
"Get the current weather for a city."
return {"city": city, "temp_c": 27, "sky": "clear"}
The model is technically notable for its use of a Simple Attention Network architecture, which includes a Hadamard MLP, GQA attention, and engram key-value memory.
The target audience for Needle 2 includes developers and researchers looking to integrate tool calling and structured extraction into their applications, particularly those with limited resources or memory constraints.
One-liner takeaway: Needle 2 packs a big punch in a tiny package, enabling powerful tool calling and structured extraction on even the smallest devices.
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🧠 Channel: https://t.me/GithubRe15 180
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15 180
📌 Spotted on GitHub Trending: cursor/plugins — let's break it down.
🔗 https://github.com/cursor/plugins
📝 Cursor plugin specification and official plugins
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The Cursor plugins repository is a collection of official plugins for various developer tools, frameworks, and SaaS products. Each plugin has its own directory at the repository root, containing a
.cursor-plugin/plugin.json manifest. The plugins offer a range of features, such as incremental transcript-driven memory updates, thermo-nuclear branch review, and rendering PR diffs as interactive canvases.
To use these plugins, you can simply navigate to the respective plugin directory and follow the instructions in the README.md file. The repository is structured as a multi-plugin marketplace, with a root .cursor-plugin/marketplace.json file that lists all available plugins.
The plugins are designed for developers and teams looking to streamline their workflows and improve productivity. With plugins for popular tools like Gmail, Google Drive, and Salesforce, as well as integrations with other services like HubSpot and Intercom, this repository has something for everyone.
Some of the key technical highlights include the use of MCP server definitions and agent skills to enable seamless integration with various services. The plugins are all licensed under the MIT license, making it easy to get started and contribute to the community.
Whether you're looking to build apps, scripts, or automations or simply want to connect to your favorite SaaS products, the Cursor plugins repository has got you covered. So why wait? Dive in and start exploring the world of Cursor plugins today - your productivity will thank you!
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🧠 Channel: https://t.me/GithubRe15 180
📌 Spotted on GitHub Trending: cathrynlavery/diagram-design — let's break it down.
🔗 https://github.com/cathrynlavery/diagram-design
📝 29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.
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The Diagram Design GitHub repository offers a unique solution for creating high-quality, editorial-style diagrams that match your brand. This tool provides 27 visual types, including architecture, flowcharts, and timelines, all of which can be easily customized to fit your brand's colors and typography.
The repository includes a
Claude Code skill that allows for seamless integration and can be installed using the plugin marketplace. The skill can also be used with Codex and Pi, making it versatile and accessible to various users.
One of the key features of Diagram Design is its ability to extract your brand's palette and font stack from your website, allowing for a consistent look and feel across all diagrams. The tool also performs automatic contrast checks to ensure that the diagrams are accessible and meet WCAG AA standards.
The target audience for this repository includes developers, designers, and anyone looking to create high-quality diagrams that match their brand's style. With its easy-to-use interface and customizable options, Diagram Design is an excellent choice for those who want to create professional-looking diagrams without spending hours designing them from scratch.
In summary, Diagram Design is a powerful tool that helps you create editorial-quality diagrams in minutes, with a consistent brand look and accessible design - and that's a game-changer for anyone who's ever struggled with creating diagrams that look great and communicate effectively!
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🧠 Channel: https://t.me/GithubRe15 180
📌 Spotted on GitHub Trending: cordiverse/cordis — let's break it down.
🔗 https://github.com/cordiverse/cordis
📝 Meta-Framework of Spatiotemporal Composability
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Cordis is an innovative framework that enables the creation of decentralized, autonomous, and dynamic applications. Its main purpose is to provide a flexible and scalable foundation for building various types of projects. Key features include a modular architecture, support for multiple programming languages, and a strong focus on security and data integrity. To get started, users can explore the
packages/core directory, which contains the core components of the framework.
From a technical standpoint, Cordis is designed to be highly customizable and adaptable to different use cases. The framework's core package provides a set of essential tools and libraries for building decentralized applications.
Overall, Cordis is suitable for developers and researchers interested in exploring the potential of decentralized technologies.
The takeaway: Cordis is the future of decentralized app development.
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🧠 Channel: https://t.me/GithubRe15 180
📌 Spotted on GitHub Trending: ToolJet/ToolJet — let's break it down.
🔗 https://github.com/ToolJet/ToolJet
📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
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ToolJet is an open-source, AI-native platform for building and deploying internal tools, workflows, and AI agents. The community edition offers a visual builder, drag-and-drop UI, and integrations with databases, APIs, SaaS apps, and object storage. Key features include a
built-in no-code database, multi-page apps, and collaboration tools.
To get started, you can try ToolJet Cloud or self-host using Docker with the following command:
docker run \
--name tooljet \
--restart unless-stopped \
-p 80:80 \
--platform linux/amd64 \
-v tooljet_data:/var/lib/postgresql/13/main \
tooljet/try:ee-lts-latest
ToolJet is perfect for developers, DevOps teams, and businesses looking for a flexible, extensible, and secure platform. Join the community and start building today - your next-gen internal tool is just a click away!
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🧠 Channel: https://t.me/GithubRe15 180
⚡ unslothai/unsloth is making waves. Here's the full picture.
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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The Unsloth GitHub repository offers a powerful tool for running and training AI models locally on your desktop. Key features include support for various model types, such as LLMs, diffusion, and embedding models, as well as tools for fine-tuning, deploying, and exporting models. Unsloth also provides a user-friendly interface through its desktop app, web UI, or code-based version, making it accessible to a wide range of users.
To get started, you can
download the native Unsloth Desktop app for your operating system or install it manually using a curl command. The repository also provides a Docker image for containerized deployment.
Technical highlights of Unsloth include its support for multiple hardware configurations, such as CPU, NVIDIA, AMD, and Intel, as well as its ability to handle multi-GPU setups. Additionally, Unsloth offers remote access capabilities, allowing you to securely access your local models from anywhere.
The Unsloth community is active, with resources available on Discord, Twitter, and Reddit. Whether you're a developer, researcher, or enthusiast, Unsloth provides a powerful tool for working with AI models locally.
Takeaway: Unsloth is the ultimate game-changer for local AI model development - run, train, and deploy with ease!
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🧠 Channel: https://t.me/GithubRe15 180
🔍 Deep-diving into OpenCut-app/OpenCut — fresh off the trending list.
🔗 https://github.com/OpenCut-app/OpenCut
📝 The open-source CapCut alternative
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OpenCut is a free and open source video editor designed for web, desktop, and mobile use. The app is currently being rewritten from the ground up to include exciting features such as an
Editor API, support for third-party plugins, and a plugin-first architecture. This new version will also have a Rust core, allowing for a unified codebase across all platforms.
To get started with development, you'll need to install proto and use the proto use command to install the required tools. You can then run the app in different modes, such as web:dev, api:dev, or desktop:dev, using the moon run command.
The project is currently not accepting outside contributions, but you can join the Discord community to follow along and ask questions. OpenCut is supported by companies that believe in open source creator tools, such as fal.ai.
One-liner takeaway: OpenCut is revolutionizing video editing with its open source, unified, and extensible approach - get ready to cut through the noise!
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🧠 Channel: https://t.me/GithubRe15 180
🌟 rustdesk/rustdesk caught my eye on GitHub Trending today.
🔗 https://github.com/rustdesk/rustdesk
📝 An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
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RustDesk is a remote desktop solution written in Rust, providing a secure and easy-to-use way to access and control remote computers. Key features include full control over your data, no configuration required, and the ability to use a rendezvous/relay server or set up your own.
The project is highly customizable, with a modular design that includes separate libraries for video codec, screen capture, keyboard/mouse control, and file transfer. Technical highlights include the use of Flutter for the GUI, Sciter for the desktop version, and a platform-specific code for optimal performance.
To get started, you can
git clone the repository and follow the build instructions for your platform. The project also provides a Docker container for easy building and deployment.
The RustDesk community welcomes contributions from everyone, with a comprehensive guide to getting started available in the docs. Whether you're a developer looking to contribute or a user seeking a reliable remote desktop solution, RustDesk is definitely worth checking out.
Take control of your remote desktop with RustDesk - security and ease, at your fingertips!
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🧠 Channel: https://t.me/GithubRe15 180
🎯 semantica-agi/semantica landed on trending. Worth a proper look.
🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is an open-source, graph-native infrastructure for building context and accountable AI systems. It's designed to ingest enterprise data, extract relevant information, and construct a knowledge graph with full decision provenance. Key features include polyglot graph storage, RDF and LPG support, W3C standards, and interoperability.
Technical highlights involve a deterministic reasoning engine, conflict detection, and ontology management. The platform is suitable for high-stakes, regulated domains such as finance, healthcare, and government.
To get started, simply run
pip install semantica and explore the ContextGraph class. The platform is ideal for AI/ML platform teams, data platform teams, compliance and audit teams, and regulated enterprises.
In a nutshell, Semantica is the missing link between your AI agents and the context they need to make trustworthy decisions: use it to explain, to comply, and to trust your AI.
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🧠 Channel: https://t.me/GithubRe